Title :
Robust soft sensors based on integration of genetic programming, analytical neural networks, and support vector machines
Author :
Kordon, Arthur ; Smits, Guido ; Jordaan, Elsa ; Rightor, Ed
Author_Institution :
Dow Chem. Co., Freeport, TX, USA
Abstract :
A novel approach for development of inferential sensors based on integration of three key computational intelligence approaches (genetic programming, analytical neural networks, and support vector machines) is proposed. The advantages of this type of soft sensors are their good generalization capabilities, increased robustness, explicit input/output relationships, self-assessment capabilities, and low implementation and maintenance cost
Keywords :
inference mechanisms; intelligent sensors; learning automata; neural nets; analytical neural networks; computational intelligence; generalization; genetic programming; inferential sensors; robust soft sensors; support vector machines; Buildings; Chemical analysis; Chemical sensors; Computational intelligence; Costs; Genetic programming; Intelligent sensors; Neural networks; Robustness; Support vector machines;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007044
